At a Glance
- Tasks: Join a dynamic team to develop AI-driven call experiences and data insights for NHS customers.
- Company: X-on, an innovative tech company in Melton, Woodbridge.
- Benefits: Up to £35,000 salary, 25 days holiday, birthday off, and professional development support.
- Other info: Inclusive workplace with excellent growth opportunities and a commitment to diversity.
- Why this job: Make a real impact in healthcare by building cutting-edge AI solutions.
- Qualifications: Experience in backend programming, preferably Go, and familiarity with AI concepts.
The predicted salary is between 30000 - 35000 £ per year.
Location: Melton, Woodbridge, Suffolk
Salary: Up to £35,000 (depending upon experience)
Hybrid - office based Monday, Wednesday and Friday
We are looking for a Graduate AI Software Engineer to join the team at X-on in Melton, Woodbridge. Within this role you will help build the infrastructure that powers our next generation of call experiences and data insight tools for our NHS customers.
Responsibilities:
- Work within a small agile team to solve technical challenges, develop new functionality and make non-functional improvements to our products and services.
- Understand business requirements and how they translate into technical design and development projects and tasks.
- Participate in architectural and design discussions and diagnose and troubleshoot complex technical issues.
- Work with stakeholders to progress and report on projects and tasks.
- Building Voice Agents: Developing and maintaining our Go-based Voice Agent API.
- Development: Contributing to our unified AI API that acts as the gateway between our telephony products and various AI providers.
- Tool Creation: Developing "Tools" (Function Calling) that allow LLMs to interact with real-world data, enabling features such as consultant lookups (RAG) and clinical system integrations.
- Data Insights: Building pipelines to transcribe and analyse historical call recordings to extract sentiment, summary, and outcome data.
- Prompt Engineering: Refining system prompts to ensure our agents are safe, accurate, and empathetic in a healthcare context.
- Learning and Development: Keeping up to date with the rapidly changing AI landscape (e.g. exploring new models) and prototyping how they can be applied to our products.
- Operations: Optionally contribute to our AI infrastructure to help operate self-hosted open-source models.
- Testing & Validation: Development of tooling to assist our Test Team in conducting evals against our many provider models to ensure we are continually optimising for quality and cost.
Skills Required:
- Competent in primary tech stack.
- Confident with computer science basics (algorithms, data structures, complexity, design patterns).
- Is productive with the basic tools in their discipline.
Key Skills:
- Can contribute to an existing framework.
- Adheres to test coverage standards.
- Regularly applies learnings from past experience.
Programming Proficiency: Foundation in a backend language. Our stack is primarily Go (Golang), so experience with Go or a strong willingness to cross-train from C++/Java/Rust/Python is required.
API Integration: Experience consuming RESTful APIs and understanding of JSON data structures.
AI/LLM Exposure: Practical experience interacting with LLM APIs (OpenAI, Anthropic, etc.) and understanding concepts like Context Windows, RAG, System Prompts, and Temperature.
Concurrency: Understanding of asynchronous programming (WebSockets, goroutines) is highly beneficial given the real-time nature of voice data.
Benefits:
- ~25 Days Holiday
- ~ Birthday Day Off
- ~ Buy Holiday Scheme
- ~ Cycle to Work Scheme
- ~ Winter Flu Jabs
- ~ Free On-Site Parking
- ~ Learning and development budget with Professional Qualification Support
- ~ Social benefits (paid social events)
SCG is proud to be an equal opportunities employer. We welcome applications from all parts of the community and are committed to upholding the principles of the Equality Act 2010. We are committed to supporting applicants with disabilities. We will endeavour to make necessary adjustments to ensure a fair and accessible recruitment process.
Locations
AI Graduate Software Engineer in Suffolk, Woodbridge employer: X-on Health
X-on is an exceptional employer located in the picturesque Melton, Woodbridge, offering a dynamic work environment where innovation meets collaboration. With a strong focus on employee growth, we provide extensive learning and development opportunities, including a dedicated budget for professional qualifications and a supportive culture that encourages creativity and teamwork. Our commitment to work-life balance is reflected in our generous holiday allowance and unique benefits such as a birthday day off and social events, making X-on a rewarding place to launch your career in AI software engineering.
StudySmarter Expert Advice🤫
We think this is how you could land AI Graduate Software Engineer in Suffolk, Woodbridge
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with alumni from your university. You never know who might have a lead on that perfect AI Graduate Software Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to AI and software engineering. This is your chance to demonstrate your programming proficiency and understanding of APIs.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss algorithms, data structures, and your experience with Go or other backend languages. Practice common coding challenges to boost your confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, you’ll be one step closer to joining our awesome team at X-on and making a real impact in the healthcare sector.
We think you need these skills to ace AI Graduate Software Engineer in Suffolk, Woodbridge
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the job description. Highlight your programming proficiency, especially in Go or any relevant languages, and don’t forget to mention your experience with APIs and AI technologies.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re excited about the role and how your background makes you a great fit. Be sure to mention your understanding of the healthcare context and how you can contribute to our projects.
Showcase Your Projects:If you've worked on any relevant projects, whether during your studies or in your spare time, make sure to include them. This could be anything from building voice agents to developing tools for AI integration. We love seeing practical applications of your skills!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re genuinely interested in joining our team at StudySmarter!
How to prepare for a job interview at X-on Health
✨Know Your Tech Stack
Make sure you’re familiar with the primary tech stack mentioned in the job description, especially Go (Golang). Brush up on your programming skills and be ready to discuss how your experience aligns with their requirements.
✨Understand AI Concepts
Since this role involves working with AI and LLMs, take some time to understand key concepts like Context Windows, RAG, and System Prompts. Being able to discuss these topics will show your enthusiasm and readiness for the role.
✨Prepare for Problem-Solving Questions
Expect technical questions that assess your problem-solving abilities. Practice coding challenges and be prepared to explain your thought process clearly. This will demonstrate your analytical skills and how you approach complex issues.
✨Show Your Team Spirit
This position is within a small agile team, so highlight your teamwork experiences. Be ready to share examples of how you’ve collaborated with others to solve problems or complete projects, as this will resonate well with their team-oriented culture.
